Search Results for "semantic parsing"
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Showing 43 open source projects for "semantic parsing"
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SemTools
Semantic search and document parsing tools for the command line
SemTools is an open-source command-line toolkit designed for document parsing, semantic indexing, and semantic search workflows. The project focuses on enabling developers and AI agents to process large document collections and extract meaningful semantic representations that can be searched efficiently. Built with Rust for performance and reliability, the toolchain provides fast processing of text and structured documents while maintaining low system overhead. ... -
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Solang
Solidity Compiler for Solana, Polkadot and Stellar
...The project maintains compatibility with Solidity 0.8 syntax while adapting to the unique constraints and capabilities of each target blockchain. Its architecture includes parsing, semantic analysis, intermediate representation generation, and final compilation through LLVM, making it a full-featured compiler pipeline. -
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Python Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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VT Code
VT Code - semantic AI coding agent
VTCode is a terminal-based AI coding agent designed to provide semantic code understanding and interactive assistance directly within a command-line environment. It is implemented in Rust and focuses on performance, portability, and deep integration with developer workflows that rely on terminal tools. The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. ... -
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Node.js Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models
...NLP Cloud serves high-performance pre-trained or custom models for NER, sentiment analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, text generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, and served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. -
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WeKnora
LLM framework for document understanding and semantic retrieval
WeKnora is an open source framework developed for deep document understanding and semantic information retrieval using large language models. It focuses on analyzing complex and heterogeneous documents by combining multiple processing stages such as multimodal document parsing, vector indexing, and intelligent retrieval. It follows the Retrieval-Augmented Generation (RAG) paradigm, where relevant document segments are retrieved and used by language models to generate accurate, context-aware responses. ... -
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PHP Client For NLP Cloud
NLP Cloud serves high performance pre-trained or custom models for NER
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models. Pass the model you want to use and the NLP Cloud token to the client during initialization. ... -
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RAG Anything
RAG-Anything: All-in-One RAG Framework
...Traditional RAG systems are typically limited to text and cannot effectively work across heterogeneous document layouts, but RAG-Anything addresses this by modeling multimodal content in ways that preserve cross-modal relationships and semantic context, often treating content elements as interconnected knowledge entities rather than separate data silos. The system uses a multi-stage pipeline (e.g., document parsing, content analysis, knowledge graph construction, intelligent retrieval) so queries can navigate across modalities with deeper understanding and relevance. -
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Ohm
A library and language for building parsers, interpreters, compilers
Ohm is a parsing toolkit consisting of a library and a domain-specific language. It allows developers to define grammars and build parsers, interpreters, and compilers with ease, facilitating language design and processing tasks. -
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Sphinx
Main repository for the Sphinx documentation builder
Sphinx is a tool that makes it easy to create intelligent and beautiful documentation, written by Georg Brandl and licensed under the BSD license. It was originally created for the Python documentation, and it has excellent facilities for the documentation of software projects in a range of languages. Of course, this site is also created from reStructuredText sources using Sphinx! HTML (including Windows HTML Help), LaTeX (for printable PDF versions), ePub, Texinfo, manual pages, plain text.... -
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libphonenumber for PHP
PHP version of Google's phone number handling library
A PHP library for parsing, formatting, storing and validating international phone numbers. This library is based on Google's libphonenumber. This library will try to follow the same version numbers as Google. There could be additional releases where needed to fix critical issues that can not wait until the next release from Google. This does mean that this project may not follow Semantic Versioning, but instead Google's version policy. -
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Natural Language Toolkit
NLTK Source
...It provides a comprehensive suite of modules, datasets, and tutorials that support both symbolic and statistical approaches to language processing. The toolkit includes implementations of many foundational NLP algorithms and utilities, enabling developers to perform tasks such as tokenization, stemming, parsing, classification, and semantic reasoning. NLTK was originally developed to support research and teaching in computational linguistics and artificial intelligence, and it has become one of the most influential educational platforms for learning NLP in Python. The project also includes access to numerous linguistic corpora and lexical resources that can be downloaded and used directly in experiments and applications. -
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Language support for Java for VS Code
Java Language Support for Visual Studio Code
Provides Java ™ language support via Eclipse ™ JDT Language Server, which utilizes Eclipse ™ JDT, M2Eclipse and Buildship. Now that Java extension will publish platform-specific versions, it will embed a JRE for supported platforms such as win32-x64, Linux-x64, Linux-arm64, darwin-x64, and darwin-arm64. The embedded JRE is used to launch the Language Server for Java. Users are only responsible for configuring Project JDKs to compile your Java projects. -
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CppSharp
Tools and libraries to glue C/C++ APIs to high-level languages
CppSharp is a tool and set of libraries that facilitates the usage of native C/C++ code with the .NET ecosystem. It consumes C/C++ header and library files and generates the necessary glue code to surface the native API as a managed API. Such an API can be used to consume an existing native library in your managed code or add managed scripting support to a native codebase. The supported target languages at present are C# and C++/CLI. It can also be used as a library to parse native code into... -
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OpenDataLoader PDF
PDF Parser for AI-ready data. Automate PDF accessibility
OpenDataLoader PDF is an open-source document processing system designed to convert complex PDF files into structured, AI-ready formats such as Markdown, JSON, and HTML while preserving layout, hierarchy, and semantic meaning. It focuses on enabling downstream use cases like retrieval-augmented generation (RAG), knowledge extraction, and document intelligence pipelines by maintaining accurate reading order and spatial metadata through bounding boxes. The tool combines deterministic parsing methods with an optional hybrid AI-powered mode that improves extraction quality for difficult layouts such as multi-column documents, scanned files, and scientific papers. ... -
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Step-Audio
Open-source framework for intelligent speech interaction
Step-Audio is a unified, open-source framework aimed at building intelligent speech systems that combine both comprehension and generation: it integrates large language models (LLMs) with speech input/output to handle not only semantic understanding but also rich vocal characteristics like tone, style, dialect, emotion, and prosody. The design moves beyond traditional separate-component pipelines (ASR → text model → TTS), instead offering a multimodal model that ingests speech or audio and... -
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Code-Graph-RAG
The ultimate RAG for your monorepo
Code-Graph-RAG is an advanced retrieval-augmented generation system designed specifically for understanding and interacting with large, multi-language codebases by transforming them into structured knowledge graphs. It uses Tree-sitter to parse source code into abstract syntax trees, extracting relationships between functions, classes, and modules to build a graph-based representation of the entire codebase. This structured approach enables more accurate and context-aware querying compared... -
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JC
CLI tool and python library
...Certain known values of None are converted to JSON null, known boolean values are converted, and, in some cases, additional semantic context fields are added. -
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Ilcg2
The Ilcg2 compiler compiler
...The resulting tool allows complete compilers to be generated with only a relatively small translator class in Java being required to map abstract syntax trees to abstract semantic trees. The lexical analysis, parsing, and generation of vectorised assembler code are all automated. -
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Release
Generate changelogs with a single command
Release is an automated versioning and changelog management tool for GitHub repositories. It simplifies the process of managing software releases by generating version tags, changelogs, and GitHub releases based on commit messages. -
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Semantic
Parsing, analyzing, and comparing source code across many languages
semantic is a Haskell library and command line tool for parsing, analyzing, and comparing source code. Run semantic --help for complete list of up-to-date options. Semantic uses tree-sitter to generate parse trees, but layers in a more generalized notion of syntax terms across all supported programming languages. We'll see why this is important when we get to diffs and program analysis, but for now let's just inspect some output. -
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9cc C compiler
A Small C Compiler
...It serves as a continuation of Rui Ueyama’s series of compiler projects, focusing on clarity and incremental development rather than production-level optimization. The compiler implements essential stages such as lexical analysis, parsing, semantic analysis, and code generation, providing a complete pipeline from source code to executable output. It supports a subset of the C language sufficient to understand real-world compilation concepts, making it a valuable learning resource for developers interested in low-level programming. The project emphasizes readability and simplicity, with code structured to be easily understood rather than highly optimized. ... -
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SLING
A natural language frame semantics parser
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic... -
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pegplusplus
A PEG parser library for C++
...Actions and semantic predicates can be written directly in the grammar, using lambdas. C++11 or later is required. -
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Kaleidoscope
Haskell LLVM JIT Compiler Tutorial
This repository is a Haskell port of the classic LLVM “Kaleidoscope” tutorial that walks you through building a tiny programming language from scratch. It covers the complete pipeline: tokenizing and parsing a simple, expression-oriented language, constructing an AST, and generating LLVM IR with a JIT so you can execute code interactively. Along the way it adds language features like user-defined functions, conditionals, loops, and operator precedence, demonstrating how each addition impacts...
